2701 results for "uber vip" across all locations
Disfruta de tus bandas favoritas en el Vive Latino
En Uber, queremos acercarte al Vive Latino: a vivir experiencias únicas, a tu música favorita, a gente nueva o nuevos favoritos.
Met het openbaar vervoer tot aan je voordeur
Uber and New Zealand Red Cross Make Donating Clothing Easy!
Chame o UberColeta e ajude muitas pessoas que precisam
No domingo (28/08), os moradores das cidades de Santos, Praia Grande e São Vicente terão uma oportunidade de ajudar quem mais precisa. Os usuários podem chamar um UberColeta – um veículo que vai recolher doações para o JuicyBazar, um bazar beneficente cujo lucro será revertido integralmente para as instituições Beaba.org e Projeto VerBem.
Sărbătorim femeile care pun orașele în mișcare cu Uber
Travel smart, ride safe
Outlines key Uber app features that help riders ride safely and smartly in India.
Domagoj: “Fleksibilnost Ubera omogućila mi je da radim samo noću, a vikendom mi se to posebno isplati”
Otkad radim kao Uberov partner-vozač, s veseljem idem na posao. Uživam biti za volanom, a neki ljudi koje sam upoznao i njihove priče su neprocjenjivi
Committed to Making Philly’s Roads Safer
As Philadelphia embarks on a Vision Zero plan to eliminate traffic deaths on our streets, Uber wants to do our part to help make that vision a reality.
Destination Guide: 5 Awesome Things To Do in South Beach, Miami
From Nodes to Networks: Evolving Recurrent Neural Networks
A. Rawal, R. Miikkulainen
Gated recurrent networks such as those composed of Long Short-Term Memory (LSTM) nodes have recently been used to improve state of the art in many sequential processing tasks such as speech recognition and machine translation. However, the basic structure of the LSTM node is essentially the same as when it was first conceived 25 years ago. Recently, evolutionary and reinforcement learning mechanisms have been employed to create new variations of this structure. This paper proposes a new method, evolution of a tree-based encoding of the gated memory nodes, and shows that it makes it possible to explore new variations more effectively than other methods. […] [PDF at arXiv]
Workshop on Meta-Learning at Conference on Neural Information Processing Systems (MetaLearn @ NeurIPS), 2018